Senior Data Engineer

Position Overview:*

Headquartered in Woodstock, New Brunswick, Xplore Inc. is one of Canada's leading broadband service providers. For over a decade, Xplore has been providing innovative broadband solutions to rural customers at work, home and play across Canada. Today, Xplore offers voice and data communication services through its unique Fiber, Wireless and Satellite network that connects Canadians to what matters.

We are looking for a Senior Data Engineer to join our team in Markham, Ontario, Fredericton, New Brunswick or remotely from a location in Canada. This role will be instrumental in building and maintaining the applications and infrastructure that support our data-driven initiatives. You will work closely with data scientists, data engineers, and analysts to develop end-to-end solutions, from robust backend APIs to dynamic reporting interfaces.

Experience in programming and automation is key as is the requirement to have a strong ability to work with databases, distributed computing systems, data pipelining, and Ops.

Key responsibilities include:

• Design, develop, and maintain robust backend ETL pipelines utilizing PySpark and Python.
• Load data into medallion architecture layers from diverse upstream sources—including both streaming and batch—using Kafka and PySpark.
• Construct responsive and interactive API services with FastAPI and Docker.
• Develop and manage APIs to facilitate secure data access and support application functionality.
• Manage data storage and retrieval using PostgreSQL, Influx, and Elastic databases.
• Implement and maintain pipelines for handling and analyzing timeseries data; experience in Temporal Spatial Data Analysis is advantageous.
• Collaborate with cross-functional teams to gather data requirements and deliver technical solutions.
• Participate in all phases of the software development lifecycle, including design, implementation, testing, and deployment.
• Support the Systems Architect in designing infrastructure and data stack components.
• Develop ETL workflows to provide stakeholders with actionable Network Intelligence.

The ideal candidate will possess:

• Bachelor's degree in Computer Science, Engineering, or a related discipline.
• At least five years of practical experience in Data Engineering, Data Science, or full-stack development.
• Advanced proficiency in Python for backend software development.
• Extensive experience building pipelines in hybrid on-premises/cloud environments.
• Demonstrated expertise in Kafka and continuous integration/continuous deployment (CI/CD) practices.
• Strong background in API design and development (e.g., REST APIs).
• Proficiency with Airflow, Docker, and Elastic Stack.
• Experience with Terraform, Databricks, and Kubernetes is considered a strong asset.
• Significant experience working with relational databases, particularly PostgreSQL and Influx.
• Proven experience developing applications that process timeseries data.
• Familiarity with data engineering principles, ETL processes, and pipeline architectures is desirable.
• Excellent analytical and problem-solving skills, with the ability to work autonomously as well as collaboratively.
• Outstanding communication and teamwork abilities.

Condition of employment:

As a condition of employment and in order to comply with industry related data security standards, this position is subject to the successful completion of a Criminal Background Check. Details will be supplied to applicants as they move through the selection process.

Xplore is committed to creating an accessible environment and will accommodate disabilities during the selection process. Please let your recruiter know during the selection process of any accommodation needs.

Company Overview:

Xplore Inc. is Canada's fibre, 5G and satellite broadband company for rural living. Xplore is committed to the relentless pursuit of an improved broadband experience for all Canadians. Xplore is building a world-class fibre optic and 5G wireless network to enable innovative broadband services for better every day rural living, for today and future generations.